Roman Lukash is a data engineer with 13 years of software development experience, blending 5 years as a back-end Java engineer with 1.5+ years focused on Big Data using Scala and Spark. He has delivered ETL pipelines, performance optimizations (including an 8–10x speedup via caching), and production data platforms across AWS EMR/Glue, Dataproc/BigQuery, and Delta Lake ecosystems. Comfortable across the stack, he writes unit/integration tests, technical documentation, and handles DevOps tasks such as cluster tuning and CI/CD automation. His background includes bioinformatics and ad-tech projects, showing an ability to translate domain complexity into reliable data products. Based in Warsaw, he augments formal engineering with multiple Udacity nanodegrees in data engineering and streaming, reflecting recent upskilling toward modern data pipelines.
13 years of coding experience
6 years of employment as a software developer
Intermidiate Python Nanodegree, Intermidiate Python Nanodegree at Udacity
Masters's degree, Computer Programming, Masters's degree, Computer Programming at Ivano-Frankivsk National Technical University of Oil and Gas
Contributions:42 pushes, 1 branch in 3 years 4 months
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